Business Analytics for Leaders
Power BI, Dashboards, Executive Reporting.
The executive challenge
The problem this program solves
The business analytics initiative reports activity — dashboards shipped, models trained, workshops held — while the P&L cannot name a single decision it changed. Careers stall on the same failure: brilliant business analytics pilots, no adoption, no measurable value. You leave with the frameworks to commission work on business analytics, interrogate its outputs and govern it with the discipline applied to any other capital allocation.
Context
Why this matters now
Capability
What you will be able to do
- Construct a business analytics roadmap sequenced by value, feasibility and risk.
- Read business analytics evidence — dashboards, model outputs, vendor claims — and know exactly what to trust.
- Evaluate where business analytics creates economic value across the organisation — and where it reliably does not.
- Govern business analytics models and data with controls that satisfy both boards and regulators.
The IPAT Course Standard
The five-day journey
Each day is a deliberate progression in managerial capability — from strategic context, to analytical frameworks, to applied practice, to executive judgement under pressure, to a capstone that produces something your organisation keeps.
IPAT Signature Case™
The Business Analytics Model Nobody Can Explain
A a multinational insurer deployed a business analytics model into daily operations. It performs — until a customer dispute, a journalist and the regulator arrive in the same week, and no one can reconstruct why the model decided what it decided.
Your decision: Pause the model pending an explainability rebuild, defend it as deployed, or restrict it to advisory use — each response signals something different to the regulator, the market and your own staff.
IPAT Data Lab™
A a national revenue authority suspects its business analytics spending is aimed at the wrong customers — and the intuition cannot yet be defended in the boardroom.
Dataset: Synthetic business analytics panel for a national revenue authority: the tables, formats and quality gaps your team would find on day one.
Your task: Structure the data, segment and score it, and translate the model into one operating decision about where the money should go.
A business analytics decision memo backed by an analysis you built and can defend.
Data → Analysis → Decision, not Data → Code → Certificate
IPAT DIOS™ Framework · Data Intelligence for Official Statistics & Organisations
From raw data to strategic intelligence in five phases
Software-led programmes at IPAT do not teach syntax — they teach statistical data architecture, the discipline that turns business analytics data into a strategic asset. The programme runs on the five-phase IPAT DIOS™ arc, adapted end-to-end to Power BI & Excel.
Assess
Diagnose the current state of business analytics data processing: a baseline of Power BI & Excel proficiency, data silos, manual bottlenecks and reproducibility gaps in the workflows your institution runs today.
Architect
Design standardized, reproducible data structures: consistent naming conventions, master schemas and version-controlled projects in Git, so every business analytics analysis stands on the same interoperable foundation.
Automate
Replace manual, error-prone steps with automated pipelines: ingest, clean and transform business analytics data with Power Query, Power Pivot and DAX, and automate with scheduled Power Query refreshes and DAX measures the routine reporting that consumes weeks of analyst time.
Analyze
Create decision intelligence: cross-tabulation with proper variance estimation, time-series visualization, geospatial mapping and predictive modelling — applied to realistic, anonymized business analytics data.
Accelerate
Build for what is next: AI-ready datasets, machine learning for imputation and estimation, and executive Power BI dashboards that put business analytics intelligence directly in decision-makers’ hands.
Day 5 · The Capstone
What will you change when you return to work?
Build a twelve-month analytical and AI roadmap for your organisation: the value case, the data foundations, the governance, and the first 90 days.
Methodology
Frameworks you will master
- • IPAT DIOS™ Framework
- • IPAT Data-to-Decision Framework™
- • IPAT Executive Capability Model™
- • Value-versus-feasibility portfolio analysis
- • CRISP-DM analytical lifecycle
- • Model risk management principles (SR 11-7 adapted)
Cohorts
Upcoming cohorts
New dates are being scheduled
Register with your preferred start date and our admissions team will match you to the next available cohort — or contact us to arrange an in-house delivery for your organisation.
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